IEEE

Unified Approach to Detection of Induction Motor Faults from Vibration Signals using Hilbert Transform based Autoencoder Features and Hybrid Efficient Machine Learning Algorithms

Abstract: Since vibration signals are sensitive to changes, they are regularly used to assess the condition of rotating electrical machines. These signals include vital data that makes it possible to ...
IEEE

Adversarial Frequency Component Reconstruction Constraint for Helicopter Vibration Signal Anomaly Detection: An Unsupervised Dual-Domain Approach

Abstract: Vibration signal anomaly detection plays a vital role in predictive maintenance and fault diagnosis of helicopters. While deep learning-driven approaches that combine both time- and ...